Alexander J. Casson
Orcid: 0000-0003-1408-1190
According to our database1,
Alexander J. Casson
authored at least 68 papers
between 2007 and 2024.
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Bibliography
2024
Deep Autoencoder for Real-Time Single-Channel EEG Cleaning and Its Smartphone Implementation Using TensorFlow Lite With Hardware/Software Acceleration.
IEEE Trans. Biomed. Eng., November, 2024
A Wrist-Worn Internet of Things Sensor Node for Wearable Equivalent Daylight Illuminance Monitoring.
IEEE Internet Things J., May, 2024
Estimation of Kinetic Energy Harvesting Potential for Self-Powered Wearable IoT Devices With 67 000 Participants From the UK Biobank.
IEEE Internet Things J., January, 2024
2023
Proceedings of the IEEE Sensors Applications Symposium, 2023
Applying Team Science to Collaborative Digital Health Research: Learnings from the Wearable Clinic.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Autoencoder Artefact Removal for Brain Signals and Impact on Classification Performance.
Proceedings of the Computing in Cardiology, 2023
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023
A smartphone-based platform for portable, non-invasive, audio and visual neurostimulation with a non-rhythmic sham stimulation mode.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
2021
Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment.
IEEE J. Biomed. Health Informatics, 2021
Monitoring of Dynamic Plantar Foot Temperatures in Diabetes with Personalised 3D-Printed Wearables.
Sensors, 2021
Investigating Gelatine Based Head Phantoms for Electroencephalography Compared to Electrical and Ex Vivo Porcine Skin Models.
IEEE Access, 2021
Proceedings of the 2021 Conference on Artificial Life, 2021
Impact of shift working on the potential for self-powering via kinetic energy harvesting in wearable devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Design and optimization of a TensorFlow Lite deep learning neural network for human activity recognition on a smartphone.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Inertial Kinetic Energy Harvesters for Wearables: The Benefits of Energy Harvesting at the Foot.
IEEE Access, 2020
Time series clustering to examine presence of decrement in Parkinson's finger-tapping bradykinesia.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A smartphone based platform for portable non-invasive light and sound neuromodulation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Classification of violin type using electroencephalography and machine learning to determine violin quality perception.
Dataset, January, 2019
Removal of Gross Artifacts of Transcranial Alternating Current Stimulation in Simultaneous EEG Monitoring.
Sensors, 2019
Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition.
IEEE Access, 2019
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019
Physical activity based classification of serious mental illness group participants in the UK Biobank using ensemble dense neural networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Implementation of a batch normalized deep LSTM recurrent network on a smartphone for human activity recognition.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Enabling Free Movement EEG Tasks by Eye Fixation and Gyroscope Motion Correction: EEG Effects of Color Priming in Dress Shopping.
IEEE Access, 2018
An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure.
IEEE Access, 2018
Performance of Nested vs. Non-Nested SVM Cross-Validation Methods in Visual BCI: Validation Study.
Proceedings of the 26th European Signal Processing Conference, 2018
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
An Exploration of Behind-the-Ear ECG Signals From a Single Ear Using Inkjet Printed Conformal Tattoo Electrodes.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Towards Photoplethysmography-Based Estimation of Instantaneous Heart Rate During Physical Activity.
IEEE Trans. Biomed. Eng., 2017
Description of a Database Containing Wrist PPG Signals Recorded during Physical Exercise with Both Accelerometer and Gyroscope Measures of Motion.
Data, 2017
Towards signal processing assisted hardware for continuous in-band electrode impedance monitoring (Invited paper).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the Global Internet of Things Summit, 2017
2016
Medical Biol. Eng. Comput., 2016
Gyroscope vs. accelerometer measurements of motion from wrist PPG during physical exercise.
ICT Express, 2016
Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Conformai electronics for longitudinal bio-sensing in at-home assistive and rehabilitative devices.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
An Analog Circuit Approximation of the Discrete Wavelet Transform for Ultra Low Power Signal Processing in Wearable Sensor Nodes.
Sensors, 2015
Medical Biol. Eng. Comput., 2015
Opportunities and challenges for ultra low power signal processing in wearable healthcare.
Proceedings of the 23rd European Signal Processing Conference, 2015
Removal of Transcranial a.c. Current Stimulation artifact from simultaneous EEG recordings by superposition of moving averages.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Towards out-of-the-lab EEG in uncontrolled environments: Feasibility study of dry EEG recordings during exercise bike riding.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Inkjet printed ECG electrodes for long term biosignal monitoring in personalized and ubiquitous healthcare.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
IEEE Trans. Biomed. Eng., 2014
IEEE Trans. Biomed. Circuits Syst., 2014
2013
Proceedings of the Foundations of Augmented Cognition, 2013
Discriminating between best performing features for seizure detection and data selection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Medical Biol. Eng. Comput., 2012
Improving seizure detection performance reporting: Analysing the duration needed for a detection.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Signal agnostic compressive sensing for Body Area Networks: Comparison of signal reconstructions.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Circuits Syst. II Express Briefs, 2011
A 60 pW g<sub>m</sub>C Continuous Wavelet Transform Circuit for Portable EEG Systems.
IEEE J. Solid State Circuits, 2011
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
Assessing the impact of signal normalization: Preliminary results on epileptic seizure detection.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Toward Online Data Reduction for Portable Electroencephalography Systems in Epilepsy.
IEEE Trans. Biomed. Eng., 2009
Quantifying the Feasibility of Compressive Sensing in Portable Electroencephalography Systems.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009
2008
An inverse filter realisation of a single scale Inverse continuous wavelet transform.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008
2007
Proceedings of the Foundations of Augmented Cognition, 2007